class_docstr: Applies Graph Size Normalization over each individual graph in a batch
  of node features as described in the
  `"Benchmarking Graph Neural Networks" <https://arxiv.org/abs/2003.00982>`_
  paper.
  
  .. math::
      \mathbf{x}^{\prime}_i = \frac{\mathbf{x}_i}{\sqrt{|\mathcal{V}|}}
code: def __init__(self):
      super().__init__()
  
file_path: pytorch_geometric/torch_geometric/nn/norm/graph_size_norm.py
imports: from typing import Optional
  import torch
  from torch import Tensor
  from torch_geometric.typing import OptTensor
  from torch_geometric.utils import degree
label_desc: Use image node_id 1 to create a new GraphSizeNorm object from inherited base classes: torch.nn with example: obj = GraphSizeNorm()